COCO dataset initialization. Annotation data are read into memory by COCO API. Args: data_dir (str): dataset root directory json_file (str): COCO json file name name (str): COCO data name (e.g. 'train2017' or 'val2017') img_size (int):
(
self,
data_dir=None,
json_file="train_half.json",
name="train",
img_size=(608, 1088),
preproc=None,
)
| 14 | """ |
| 15 | |
| 16 | def __init__( |
| 17 | self, |
| 18 | data_dir=None, |
| 19 | json_file="train_half.json", |
| 20 | name="train", |
| 21 | img_size=(608, 1088), |
| 22 | preproc=None, |
| 23 | ): |
| 24 | """ |
| 25 | COCO dataset initialization. Annotation data are read into memory by COCO API. |
| 26 | Args: |
| 27 | data_dir (str): dataset root directory |
| 28 | json_file (str): COCO json file name |
| 29 | name (str): COCO data name (e.g. 'train2017' or 'val2017') |
| 30 | img_size (int): target image size after pre-processing |
| 31 | preproc: data augmentation strategy |
| 32 | """ |
| 33 | super().__init__(img_size) |
| 34 | if data_dir is None: |
| 35 | data_dir = os.path.join(get_yolox_datadir(), "mot") |
| 36 | self.data_dir = data_dir |
| 37 | self.json_file = json_file |
| 38 | |
| 39 | self.coco = COCO(os.path.join(self.data_dir, "annotations", self.json_file)) |
| 40 | self.ids = self.coco.getImgIds() |
| 41 | self.class_ids = sorted(self.coco.getCatIds()) |
| 42 | cats = self.coco.loadCats(self.coco.getCatIds()) |
| 43 | self._classes = tuple([c["name"] for c in cats]) |
| 44 | self.annotations = self._load_coco_annotations() |
| 45 | self.name = name |
| 46 | self.img_size = img_size |
| 47 | self.preproc = preproc |
| 48 | |
| 49 | def __len__(self): |
| 50 | return len(self.ids) |
nothing calls this directly
no test coverage detected